How to use TIGER-Lab/VL-Reasoner-72B with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("visual-question-answering", model="TIGER-Lab/VL-Reasoner-72B")
# Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("TIGER-Lab/VL-Reasoner-72B") model = AutoModelForMultimodalLM.from_pretrained("TIGER-Lab/VL-Reasoner-72B", device_map="auto")
https://huggingface.co/TIGER-Lab/VL-Reasoner-72B/resolve/main/merges.txt
hf download hf://TIGER-Lab/VL-Reasoner-72B/merges.txt
curl -L -o merges.txt https://huggingface.co/TIGER-Lab/VL-Reasoner-72B/resolve/main/merges.txt
